1,904 research outputs found

    Gestational dating by metabolic profile at birth: a California cohort study.

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    BackgroundAccurate gestational dating is a critical component of obstetric and newborn care. In the absence of early ultrasound, many clinicians rely on less accurate measures, such as last menstrual period or symphysis-fundal height during pregnancy, or Dubowitz scoring or the Ballard (or New Ballard) method at birth. These measures often underestimate or overestimate gestational age and can lead to misclassification of babies as born preterm, which has both short- and long-term clinical care and public health implications.ObjectiveWe sought to evaluate whether metabolic markers in newborns measured as part of routine screening for treatable inborn errors of metabolism can be used to develop a population-level metabolic gestational dating algorithm that is robust despite intrauterine growth restriction and can be used when fetal ultrasound dating is not available. We focused specifically on the ability of these markers to differentiate preterm births (PTBs) (<37 weeks) from term births and to assign a specific gestational age in the PTB group.Study designWe evaluated a cohort of 729,503 singleton newborns with a California birth in 2005 through 2011 who had routine newborn metabolic screening and fetal ultrasound dating at 11-20 weeks' gestation. Using training and testing subsets (divided in a ratio of 3:1) we evaluated the association among PTB, target newborn characteristics, acylcarnitines, amino acids, thyroid-stimulating hormone, 17-hydroxyprogesterone, and galactose-1-phosphate-uridyl-transferase. We used multivariate backward stepwise regression to test for associations and linear discriminate analyses to create a linear function for PTB and to assign a specific week of gestation. We used sensitivity, specificity, and positive predictive value to evaluate the performance of linear functions.ResultsAlong with birthweight and infant age at test, we included 35 of the 51 metabolic markers measured in the final multivariate model comparing PTBs and term births. Using a linear discriminate analyses-derived linear function, we were able to sort PTBs and term births accurately with sensitivities and specificities of ≥95% in both the training and testing subsets. Assignment of a specific week of gestation in those identified as PTBs resulted in the correct assignment of week ±2 weeks in 89.8% of all newborns in the training and 91.7% of those in the testing subset. When PTB rates were modeled using the metabolic dating algorithm compared to fetal ultrasound, PTB rates were 7.15% vs 6.11% in the training subset and 7.31% vs 6.25% in the testing subset.ConclusionWhen considered in combination with birthweight and hours of age at test, metabolic profile evaluated within 8 days of birth appears to be a useful measure of PTB and, among those born preterm, of specific week of gestation ±2 weeks. Dating by metabolic profile may be useful in instances where there is no fetal ultrasound due to lack of availability or late entry into care

    Use of a Discharge Checklist to Improve Patient Satisfaction

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    Abstract Category: Practice Innovation / Performance Improvement (PI) Purpose: To improve patient satisfaction related to discharge overall score on Press Ganey Survey for medical surgical/telemetry unit. Methods: Development of a discharge checklist. Education of the staff regarding the checklist. Implementation of the discharge checklist designed to be used during admission and during the patient\u27s stay in the hospital. Checklist consisted of information of primary attending and consultants for patient\u27s specific case, the need of outpatient services, vaccines status, and possible time of discharge. Purpose of checklist was for patient education and awareness of discharge process. Findings: In the two months prior to the checklist implementation the average Press Ganey patient satisfaction mean score was 77.1. In the four months post intervention of checklist implementation the average Press Ganey patient satisfaction mean score was 87.2. Discussion: With the implementation of a discharge checklist and education of nursing staff the patient satisfaction score related to discharge overall increased. Implications for Practice: The use of a discharge checklist helps patients understand the discharge process thereby improving their satisfaction with discharge overall

    Migrantes, saúde e lazer: A procura de uma relação

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    info:eu-repo/semantics/publishedVersio

    Learning-Augmented Query Policies for Minimum Spanning Tree with Uncertainty

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    We study how to utilize (possibly erroneous) predictions in a model for computing under uncertainty in which an algorithm can query unknown data. Our aim is to minimize the number of queries needed to solve the minimum spanning tree problem, a fundamental combinatorial optimization problem that has been central also to the research area of explorable uncertainty. For all integral ? ? 2, we present algorithms that are ?-robust and (1+1/?)-consistent, meaning that they use at most ?OPT queries if the predictions are arbitrarily wrong and at most (1+1/?)OPT queries if the predictions are correct, where OPT is the optimal number of queries for the given instance. Moreover, we show that this trade-off is best possible. Furthermore, we argue that a suitably defined hop distance is a useful measure for the amount of prediction error and design algorithms with performance guarantees that degrade smoothly with the hop distance. We also show that the predictions are PAC-learnable in our model. Our results demonstrate that untrusted predictions can circumvent the known lower bound of 2, without any degradation of the worst-case ratio. To obtain our results, we provide new structural insights for the minimum spanning tree problem that might be useful in the context of query-based algorithms regardless of predictions. In particular, we generalize the concept of witness sets - the key to lower-bounding the optimum - by proposing novel global witness set structures and completely new ways of adaptively using those

    Colaboração interfederativa, política educacional e desigualdade no Brasil : Um estudo de caso sobre a implementação do pacto nacional pela alfabetização na idade certa

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    Esta comunicaçao oral apresenta resultados de uma pesquisa financiada pela representaçao da UNESCO no Brasil, no campo da análise de políticas públicas de educaçao, cujo objetivo foi compreender os processos de proposiçao, implementaçao e recontextualizaçao do Pacto Nacional pela Alfabetizaçao na Idade Certa - PNAIC, política de estado brasileira iniciada em 2012 e adotada em praticamente todos municípios do país. Articulando fundamentos teóricos da sociologia política da educaçao e da ciência política e combinando metodologias qualitativa e quantitativa, o estudo de caso concluiu que o cruzamento entre um pacto federativo com graves indefiniçoes e um tecido social que ainda apresenta severas desigualdades sociais comprometeu, em parte, os resultados esperados nesta primeira fase de implementaçao da política. Também identificou a dificuldade da universidade em dialogar com o desafio do combate à desigualdade educativa e com sua responsabilidade no campo da formaçao de educadores. Por outro lado, a análise evidenciou a importância dos esforços de articulaçao entre as diferentes açoes no campo de políticas educacionais e diferentes instâncias federativas, bem como a centralidade da regulaçao dos interesses do mercado editorial para a diminuiçao das disparidades no que diz respeito ao direito pleno à educaça

    Investigating the Function of Arginine Methylation at Two Mutated Sites of CBP by CARM1

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    https://openworks.mdanderson.org/sumexp23/1054/thumbnail.jp
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